Sr. Applied Scientist , Mobile Manipulation Robotics; I​/O

Position: Sr. Applied Scientist , Mobile Manipulation Robotics (I/O)

Job : | Services LLC

About the Role

Amazon Robotics is transforming warehouse automation through edge AI and machine learning applied to real-world robotics challenges. We're seeking a Senior Applied Scientist to advance our mobile manipulation capabilities by developing learning-based approaches that enable robots to navigate and manipulate objects in dynamic fulfillment environments. This role offers the opportunity to apply state-of-the-art research to production systems operating at Amazon's unprecedented scale.

What You'll Do

As a Senior Applied Scientist, you'll develop and deploy machine learning models that enable mobile manipulators to perform complex tasks autonomously. You'll work at the intersection of perception, learning, and control to create intelligent systems that can adapt to diverse warehouse scenarios with minimal task-specific programming.

Key Job Responsibilities

• Design, develop, train, and deploy deep learning models for perception tasks (e.g., object detection, segmentation, pose estimation, tracking).
• Develop and maintain robust camera calibration pipelines (intrinsic, extrinsic, hand-eye calibration, multi-camera systems).
• Build perception systems for robotic manipulation including grasp detection, object pose estimation, and visual servoing.
• Improve model performance through architecture optimization, data curation, and training strategies.
• Build and maintain production-quality perception codebases with proper testing and documentation.
• Profile and optimize models for real-time inference on embedded/edge platforms.
• Collaborate with cross-functional teams (robotics, motion planning, controls) to integrate perception outputs for manipulation tasks.
• Establish best practices for model versioning, experiment tracking, and MLOps.
• Mentor junior engineers and contribute to technical roadmap planning.

A Day in the Life

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan

About the Team

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you'll fit right in here at Amazon Robotics. We are a smart, collaborative team of enthusiastic doers that work passionately to apply innovative advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can't even imagine yet.

We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.

Basic Qualifications

• 3+ years of building machine learning models for business applications.
• PhD, or Master's degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensor Flow, Num Py, Sci Py etc.
• Experience with large-scale distributed systems such as Hadoop, Spark etc.

Equal Opportunity Employer

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit (Use the "Apply for this Job" box below). for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Salary and Benefits

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

Learn more about our benefits s/en/benefits.

Location and Salary

USA, MA, North Reading - - USD annually

USA, WA, Bellevue